Alternatives and similar repositories for Tensorflow-EchoStateNetwork:

Users that are interested in Tensorflow-EchoStateNetwork are comparing it to the libraries listed below

• cknd / pyESN
  Echo State Networks in Python
  ☆303Updated 4 years ago
• sylvchev / simple_esn
  simple Echo State Networks integrated with scikit-learn
  ☆26Updated 5 years ago
• francesco-mannella / Echo-State-Networks
  Echo State Networks with TensorFlow
  ☆37Updated 4 years ago
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆119Updated 5 years ago
• philipperemy / tensorflow-phased-lstm
  Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
  ☆128Updated 6 years ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆135Updated 4 years ago
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆217Updated 2 years ago
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• philipperemy / tensorflow-grid-lstm
  Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
  ☆28Updated 7 years ago
• tomrunia / ClockworkRNN
  Clockwork RNN in TensorFlow
  ☆61Updated 7 years ago
• mpstewart1 / EchoStateNetworks
  Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
  ☆49Updated 4 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆145Updated 4 years ago
• PanDav2 / Clockwork-RNN
  This repository is a reproduction of the clockwork RNN paper.
  ☆20Updated 8 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years ago
• philipperemy / tensorflow-cnn-time-series
  Feeding images of time series to Conv Nets! (Tensorflow + Keras)
  ☆49Updated 7 years ago
• phvu / grid-lstm-tensorflow
  Examples of using GridLSTM (and GridRNN in general) in tensorflow
  ☆63Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆78Updated 8 months ago
• sjblim / rnf-ijcnn-2020
  Recurrent Neural Filters for Time Series Prediction
  ☆24Updated 4 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 5 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆297Updated 11 months ago
• yscacaca / DeepSense
  Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
  ☆197Updated 5 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆19Updated 7 years ago
• FilippoMB / Bidirectional-Deep-readout-Echo-State-Network
  Multivariate time series classification with a bi-directional ESN with a deep neural network readout.
  ☆25Updated last week
• rob-med / owlpy
  An open source time series library for Python implementing Matrix Profile
  ☆23Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆43Updated 6 years ago
• siloekse / PythonESN
  ☆24Updated 8 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆115Updated 8 years ago
• JackKelly / bayesianchangepoint
  An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"
  ☆31Updated 10 years ago